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New insights into churn prediction in the telecommunication sector : a profit driven data mining approach

Verbeke, Wouter; Dejaeger, Karel; Martens, David; Heo, … - In: European journal of operational research : EJOR 218 (2012) 1, pp. 211-229

Persistent link: https://www.econbiz.de/10009501046

Software Defect Prediction Based on Association Rule Classification

Ma, Baojun; Dejaeger, Karel; Vanthienen, Jan; Baesens, Bart - 2011

In software defect prediction, predictive models are estimated based on various code attributes to assess the likelihood of software modules containing errors. Many classification methods have been suggested to accomplish this task. However, association based classification methods have not been...

Persistent link: https://www.econbiz.de/10014184801

Software defect prediction based on association rule classification

Ma, Baojun; Dejaeger, Karel; Vanthienen, Jan; Baesens, Bart - 2011

Persistent link: https://www.econbiz.de/10009010205

Forecasting Loss Given Default models : impact of account characteristics and macroeconomic state

Tobback, Ellen; Martens, David; Van Gestel, Tony; … - In: Journal of the Operational Research Society : OR 65 (2014) 3, pp. 376-392

Persistent link: https://www.econbiz.de/10010251701

Forecasting loss given default models : impact of account characteristics and the macroeconomic state

Tobback, Ellen; Martens, David; Van Gestel, Tony; … - 2012

Persistent link: https://www.econbiz.de/10009669592

Using shared sell-through data to forecast wholesaler demand in multi-echelon supply chains

Belle, Jente van; Guns, Tias; Verbeke, Wouter - In: European journal of operational research : EJOR 288 (2021) 2, pp. 466-479

Persistent link: https://www.econbiz.de/10012438230

Profit-driven churn prediction for the mutual fund industry : a multisegment approach

Maldonado, Sebastián; Domínguez, Gonzalo; Olaya, Diego; … - In: Omega : the international journal of management science 100 (2021), pp. 1-12

Persistent link: https://www.econbiz.de/10012494637

Machine learning methods for short-term probability of default : a comparison of classification, regression and ranking methods

Coenen, Lize; Verbeke, Wouter; Guns, Tias - In: Journal of the Operational Research Society 73 (2022) 1, pp. 191-206

Persistent link: https://www.econbiz.de/10012872899

Improving forecast stability using deep learning

Belle, Jente van; Crevits, Ruben; Verbeke, Wouter - In: International journal of forecasting 39 (2023) 3, pp. 1333-1350

Persistent link: https://www.econbiz.de/10014465283

Uplift modeling and its implications for B2B customer churn prediction : a segmentation-based modeling approach

Caigny, Arno de; Coussement, Kristof; Verbeke, Wouter; … - In: Industrial marketing management : the international … 99 (2021), pp. 28-39

Persistent link: https://www.econbiz.de/10013206384